Senior Data Scientist

Key Skills

Apache Hadoop, C++, Data Analytics, Data science techniques, Java Programming, Linux Operating system, MongoDB, Python Programming, R Programming, Scala Programming, SPARK Programming, Unix Operating system

Job Description

At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to:

• Career development with an international company where you can grow the career you dream of.

• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.

• An excellent retirement savings plan with a high employer contribution

• Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.

• A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.

• A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

The Senior Data Scientist will work out of our Molecular Division in Des Plaines, IL. Our Molecular Division delivers best-in-class innovative testing solutions for people around the world to provide answers to life’s critical health decisions. We help people live full and healthy lives through our accessible, molecular-based solutions. location in the Abbott Molecular Division.

Abbott Molecular is building a cutting-edge Operations Data Science and Analytics team, and we are seeking a highly driven Sr Data Scientist to be the first individual contributor hired into this new function. This is a unique opportunity for an ambitious candidate to work independently, gain visibility with senior leadership, and help define the future of data science and analytics within our business.

In this role, you will take the lead on data analytics projects that drive strategic decisions and operational improvements. You will work hands-on with data pipelines, cloud infrastructure, time series forecasting, and digital twin modeling—transforming raw data into actionable insights. Over the next several years, this team will pilot multiple AI-driven initiatives, offering a tremendous opportunity for growth and impact.

If you live and breathe data, we want to hear from you! Whether you have a degree in biology, computer science, physics, mathematics, finance, or economics matters far less than your passion, drive, and perseverance. Whether you learned Python in school, on the job, in an intensive bootcamp, or through independent study online, you can make an impact here. Let’s build an exciting future together on the Abbott Molecular Operations Data Science and Analytics team!

What You’ll Work On

• Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to the client

• Utilize technologies to collect, clean, analyze, predict, and effectively communicate information

• Prepare both structured and unstructured data for analysis

• Able to examine data sets and determine the best end-to-end analysis plan to address key business questions and create value for the client

• Conduct advanced statistical analysis to determine trends and significant data relationships

• Develop machine learning models to apply test data algorithms to future data

• Validate models/analytical techniques, and develop algorithms to execute analytical functions

• Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need.

• Proactively identifies opportunities for significant operational, process or system level product improvements.

• Communicate model logic and restrictions

• Work closely with the business to understand the domain and iteratively refine analyses

• Transform analytical results into actionable recommendations for business partners using deep industry knowledge

• Provides input into developing departmental and site processes and procedures.

• Guide and otherwise contribute to technical teams in development, deployment and application of applied analytics, predictive analytics, prescriptive analytics, etc.

Qualifications

• Bachelor's Degree: Computer Science, Data Analytics, Mathematics, Statistics, Physics, or Engineering.Life or Physical Science, Bioengineering, Biomedical Engineering, or closely related discipline.

• Minimum 4 years of work-related experience with a degree or sufficient transferable experience to demonstrate functional equivalence to a degree.

• Programming Scripts: Advanced experience with Python, Java, Scala, C++ in Linux/Unix, and R.

• Data Analysis Techniques: Experience with big data systems such as Hadoop, Spark, MongoDB, or similar software.

• Statistics

• Mathematical Programming

• Business Acumen: Experience with operational or strategic systems.

Preferred Qualifications

• Hands on experience in Microsoft Azure, AWS, or other cloud platforms

• Proficiency in Python, with hands-on experience using Pandas, Scikit-learn, and Plotly

• Significant conception-to-delivery experience with analytics, modeling, forecasting, or AI projects in a real-world setting

• Familiarity with git for version control and collaborative development

• Experience with PowerBI

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott, and on Twitter @AbbottNews.

The base pay for this position is $75,300.00 – $150,700.00. In specific locations, the pay range may vary from the range posted.